Dynamic Global-Local Spatial-Temporal Network for Traffic Speed Prediction

Dynamic Global-Local Spatial-Temporal Network for Traffic Speed Prediction

Predicting traffic speed accurately is a very challenging task of the intelligent traffic system (ITS), due to the complex and dynamic spatial-temporal dependencies from both temporal and spatial aspects. There not only exits short-term local neighboring fluctuation and long-term global trend in tem...

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Bibliographic Details
Main Authors:	Dong Feng, Zhongcheng Wu, Jun Zhang, Ziheng Wu
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Access
Subjects:	Traffic speed prediction spatial-temporal network graph convolutional network dynamic graph learning
Online Access:	https://ieeexplore.ieee.org/document/9261496/

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